FedML, a Sunnyvale, CA-based company specializing in collaborative AI, has successfully raised $6 million in seed and pre-seed funding. Camford Capital led the funding round, with contributions from Plug and Play Ventures, AimTop Ventures, Acequia Capital, LDV Partners, and other undisclosed investors.
Co-founded by CEO Salman Avestimehr, a Dean’s professor at USC and the inaugural director of the USC-Amazon Center on Trustworthy AI, and CTO Dr. Chaoyang He, a former PhD student with over a decade of R&D experience at Google, Amazon, Facebook, Tencent, and Baidu, FedML has emerged as a leader in collaborative AI. The company offers an open-source library and enterprise software platform for training, deploying, and customizing machine learning models across edge and cloud nodes on any scale. Its distributed MLOps platform enables the sharing of data, models, and compute resources while preserving data privacy and security.
Currently, FedML’s solutions are used by more than 1,900 developers and ten large enterprise customers across various industries. The company has also secured ten enterprise contracts in sectors such as healthcare, financial services, logistics, retail, smart cities, generative AI, and web3 applications.
As FedML continues to grow and innovate, its collaborative AI solutions are set to transform the way businesses approach machine learning, ensuring data privacy and security in an increasingly interconnected world.
